{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction: Interacting with Slack from Python\n",
    "\n",
    "In this notebook, we will use `Slacker` to interact with Slack. This allows us to send messages and upload files, which can be useful when training models, or monitoring scripts (or just for fun of course)!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First off, install the package. Documentation can be found [here](https://github.com/os/slacker). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install - q - U Slacker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ALl outputs \n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = 'all'\n",
    "\n",
    "# Slacker\n",
    "from slacker import Slacker\n",
    "\n",
    "# Data manipulation\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "\n",
    "\n",
    "# Visualization\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.style.use('fivethirtyeight')\n",
    "\n",
    "# Displaying images\n",
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get a Slack Legacy API Token\n",
    "\n",
    "Most importantly, you need a [Slack workspace](https://slack.com/). I recommend making your own workspace where you are the admin just to get familiar with this package. Once you have your workspace, obtain a legacy token to enable interaction. Head to the following link to get a token.\n",
    "\n",
    "https://api.slack.com/custom-integrations/legacy-tokens\n",
    "\n",
    "![](images/legacy_tokens.PNG)\n",
    "\n",
    "Store the token in a safe location (not on GitHub)!\n",
    "\n",
    "This token will allow us to do anything one can do through the Slack API. The full documentation for the Slack API is [here](https://api.slack.com/methods)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authenticate with Slack\n",
    "\n",
    "Replace the line below with the location of your slack api token."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('C:/Users/willk/OneDrive/Desktop/slack_api_python.txt', 'r') as f:\n",
    "    slack_api_token = f.read()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we authenticate with slack by instantiating a `Slacker` object. We'll test this by checking in our connection is `successful`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully connected to Data Analysis.\n"
     ]
    }
   ],
   "source": [
    "# Connect to Slack\n",
    "slack = Slacker(slack_api_token)\n",
    "if slack.api.test().successful:\n",
    "    print(\n",
    "        f\"Successfully connected to {slack.team.info().body['team']['name']}.\")\n",
    "else:\n",
    "    print('Try Again!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interacting with Slack\n",
    "\n",
    "Anything (okay, nearly anything) you can do in Slack you can do through the Python API. First, let's just do some basic info retrieval. \n",
    "\n",
    "## Retrieving Information\n",
    "\n",
    "Each time you make a request for information, you get back `response` object. The `body` object of the response holds the details of the request (if successful)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ok': True,\n",
       " 'team': {'id': 'TCD256PSM',\n",
       "  'name': 'Data Analysis',\n",
       "  'domain': 'python-data',\n",
       "  'email_domain': 'case.edu',\n",
       "  'icon': {'image_34': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_34.png',\n",
       "   'image_44': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_44.png',\n",
       "   'image_68': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_68.png',\n",
       "   'image_88': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_88.png',\n",
       "   'image_102': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_102.png',\n",
       "   'image_132': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_132.png',\n",
       "   'image_230': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_230.png',\n",
       "   'image_original': 'https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_original.png'}}}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.team.info()\n",
    "r.body"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_230.png\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "\n",
    "Image(url='https://avatars.slack-edge.com/2018-11-30/492734348690_802c4805ab4a0d29383b_230.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What Can We Do?\n",
    "\n",
    "This is our workspace's icon! (Okay that's not very exciting.) To see everything we can do with Slacker, let's take a look at the methods and attributes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['get',\n",
       " 'get_presence',\n",
       " 'get_user_id',\n",
       " 'identity',\n",
       " 'info',\n",
       " 'list',\n",
       " 'post',\n",
       " 'set_active',\n",
       " 'set_presence']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "['archive',\n",
       " 'create',\n",
       " 'get',\n",
       " 'get_channel_id',\n",
       " 'history',\n",
       " 'info',\n",
       " 'invite',\n",
       " 'join',\n",
       " 'kick',\n",
       " 'leave',\n",
       " 'list',\n",
       " 'mark',\n",
       " 'post',\n",
       " 'rename',\n",
       " 'replies',\n",
       " 'set_purpose',\n",
       " 'set_topic',\n",
       " 'unarchive']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from utils import get_data_and_model, get_options\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore', category=FutureWarning)\n",
    "\n",
    "command_dict = get_options(slack)\n",
    "command_dict['functions']['users']\n",
    "command_dict['functions']['channels']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can look at all the channels by iterating through them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Channel general Purpose: This channel is for workspace-wide communication and announcements. All members are in this channel.\n",
      "\n",
      "Channel python_content Purpose: \n",
      "\n",
      "Channel python_content_new Purpose: \n",
      "\n",
      "Channel python_content_new2 Purpose: Data Science and Python\n",
      "\n",
      "Channel python_content2 Purpose: Working with Python and Slack\n",
      "\n",
      "Channel python_content3 Purpose: Sharing great python related resources\n",
      "\n",
      "Channel random Purpose: Deep philosophical discussions around the water cooler.\n",
      "\n",
      "Channel slack_interaction Purpose: To interact with Slack from Python\n",
      "\n",
      "Channel testing_exp Purpose: Experimental testing of interactions.\n",
      "\n",
      "Channel training_report Purpose: Report progress while training machine learning models\n",
      "\n"
     ]
    }
   ],
   "source": [
    "channels = slack.channels.list().body\n",
    "\n",
    "# Iterate through channels\n",
    "for channel in channels['channels']:\n",
    "    print(\n",
    "        f'Channel {channel[\"name\"]} Purpose: {channel[\"purpose\"][\"value\"]}\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's the history of the `general` channel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ok': True,\n",
       " 'messages': [{'client_msg_id': 'cd129804-bf06-473c-acb7-52458abcc167',\n",
       "   'type': 'message',\n",
       "   'text': \"It's a little lonely in here. <@USLACKBOT> are you out there?\",\n",
       "   'user': 'UCEKVNHPH',\n",
       "   'ts': '1543624786.001400'},\n",
       "  {'client_msg_id': '65a363a4-265a-4c1d-bb21-914fea4af7fd',\n",
       "   'type': 'message',\n",
       "   'text': \"And please don't answer 42!\",\n",
       "   'user': 'UCEKVNHPH',\n",
       "   'ts': '1543624766.000900'},\n",
       "  {'client_msg_id': '6ace906a-76dd-4482-8001-de3cc8cabcdf',\n",
       "   'type': 'message',\n",
       "   'text': 'What is the meaning of life?',\n",
       "   'user': 'UCEKVNHPH',\n",
       "   'ts': '1543624759.000600'},\n",
       "  {'client_msg_id': 'b43989fc-4e86-4f7d-9ac7-295c0a34597b',\n",
       "   'type': 'message',\n",
       "   'text': 'Anyone going to that Python meetup tonight?',\n",
       "   'user': 'UCEKVNHPH',\n",
       "   'ts': '1543616388.000300'},\n",
       "  {'user': 'UCEKVNHPH',\n",
       "   'type': 'message',\n",
       "   'subtype': 'channel_join',\n",
       "   'ts': '1534988091.000200',\n",
       "   'text': '<@UCEKVNHPH> has joined the channel'}],\n",
       " 'has_more': False}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slack.channels.history(channel='CCCT28F08').body"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also see all of the users along with their profile photo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "User: wjk68, Real Name: Will Koehrsen, Time Zone: Eastern Standard Time.\n",
      "Current Status: \n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "User: slackbot, Real Name: slackbot, Time Zone: Pacific Standard Time.\n",
      "Current Status: \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users = slack.users.list().body\n",
    "\n",
    "for user in users['members']:\n",
    "    # Print some information\n",
    "    print(\n",
    "        f'\\nUser: {user[\"name\"]}, Real Name: {user[\"real_name\"]}, Time Zone: {user[\"tz_label\"]}.')\n",
    "    print(f'Current Status: {user[\"profile\"][\"status_text\"]}')\n",
    "    # Get image data and show\n",
    "    Image(user['profile']['image_192'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IDs\n",
    "\n",
    "When we interact with a `channel` or `user`, it's generally best to refer to it by the `id`. Therefore, it can be helpful to set up a mapping of channels and users to their ids."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'wjk68': 'UCEKVNHPH', 'slackbot': 'USLACKBOT'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "channel_dict = {}\n",
    "\n",
    "for channel in channels['channels']:\n",
    "    channel_dict[channel['name']] = channel['id']\n",
    "\n",
    "user_dict = {}\n",
    "\n",
    "for user in users['members']:\n",
    "    user_dict[user['name']] = user['id']\n",
    "\n",
    "user_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Altering Attributes\n",
    "\n",
    "It's pretty lonely in this Slack workspace! Now, we can alter any attributes of users of channels with the ids For example, we can set the purpose of the `python_content` channel as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Channel python_content2 Purpose: Learning how to use Python for Slack interaction\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Set the purpose of the channel\n",
    "r = slack.channels.set_purpose(channel_dict['python_content2'],\n",
    "                               purpose='Learning how to use Python for Slack interaction')\n",
    "\n",
    "channels = slack.channels.list().body\n",
    "\n",
    "# Iterate through channels\n",
    "for channel in channels['channels']:\n",
    "    if channel['name'] == 'python_content2':\n",
    "        print(\n",
    "            f'Channel {channel[\"name\"]} Purpose: {channel[\"purpose\"][\"value\"]}\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's change a few of my attributes. First we can see what I'm up to."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Pretty Regular Guy'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "'boring'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "'Running'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "':runner::skin-tone-5:'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "me = users['members'][0]\n",
    "me['profile']['title']\n",
    "me['profile']['display_name']\n",
    "me['profile']['status_text']\n",
    "me['profile']['status_emoji']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Okay so not that exciting. Let's change a few things."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "for new_value, name in zip(['Data Scientist and Writer', 'Willk', 'data-sciencing', ':male-technologist:'],\n",
    "                           ['title', 'display_name', 'status_text', 'status_emoji']):\n",
    "\n",
    "    r = slack.users.profile.set(user=user_dict['wjk68'],\n",
    "                                name=name, value=new_value)\n",
    "    if not r:\n",
    "        print(r.error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Data Scientist and Writer'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "'Willk'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "':male-technologist:'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users = slack.users.list().body\n",
    "me = users['members'][0]\n",
    "me['profile']['title']\n",
    "me['profile']['display_name']\n",
    "me['profile']['status_text']\n",
    "me['profile']['status_emoji']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The All-Important Emoji\n",
    "\n",
    "Emoji's are set using the `:name:` emoji code notation. The easiest way to figure out which one to use is go to Slack, bring up the emoji's hover over the one you want, and find the name.\n",
    "\n",
    "![](images/emoji_choose.PNG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🏃\n"
     ]
    }
   ],
   "source": [
    "import emoji\n",
    "\n",
    "\n",
    "def print_emoji(emoji_name):\n",
    "    print(emoji.emojize(emoji_name, use_aliases=True))\n",
    "\n",
    "\n",
    "print_emoji(':runner:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "💻\n"
     ]
    }
   ],
   "source": [
    "print_emoji(':computer:')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's an image of all the available emoji at once. You can find all emoji codes at https://www.webpagefx.com/tools/emoji-cheat-sheet/."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"https://a.slack-edge.com/c00d19/img/emoji_2017_12_06/sheet_google_64_indexed_256.png\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(url='https://a.slack-edge.com/c00d19/img/emoji_2017_12_06/sheet_google_64_indexed_256.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Searching\n",
    "\n",
    "You can search through any messages or files in your team's workspace."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_ts(ts):\n",
    "    return pd.to_datetime(ts, unit='s').date()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time: 2018-11-30, Text: Python is better than MatLab! :+1::skin-tone-5:\n",
      "Time: 2018-11-30, Text: Anyone going to that Python meetup tonight?\n"
     ]
    }
   ],
   "source": [
    "matches = slack.search.messages(query='Python').body['messages']['matches']\n",
    "for match in matches:\n",
    "    print(f\"Time: {convert_ts(match['ts'])}, Text: {match['text']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is fun 👍\n"
     ]
    }
   ],
   "source": [
    "print(emoji.emojize(\"Python is fun :+1:\", use_aliases=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time: 2018-12-01, Title: Iris Seaborn Plot\n",
      "Time: 2018-11-30, Title: Iris Seaborn Plot\n",
      "Time: 2018-11-30, Title: first plot\n",
      "Time: 2018-11-30, Title: Iris Seaborn Plot\n",
      "Time: 2018-11-30, Title: Iris Seaborn Plot\n",
      "Time: 2018-11-30, Title: Iris Seaborn Plot\n",
      "Time: 2018-08-23, Title: first plot\n",
      "Time: 2018-08-23, Title: first plot\n"
     ]
    }
   ],
   "source": [
    "matches = slack.search.files(query='plot').body['files']['matches']\n",
    "for match in matches:\n",
    "    print(f\"Time: {convert_ts(match['timestamp'])}, Title: {match['title']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Do Not Disturb\n",
    "\n",
    "You can even find the do not disturb settings for everyone on your team."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ok': True,\n",
       " 'users': {'UCEKVNHPH': {'dnd_enabled': True,\n",
       "   'next_dnd_start_ts': 1543633200,\n",
       "   'next_dnd_end_ts': 1543669200}}}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slack.dnd.team_info().body"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to tell everyone to leave you alone, go ahead and do so! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ok': True,\n",
       " 'snooze_enabled': True,\n",
       " 'snooze_endtime': 1543640381,\n",
       " 'snooze_remaining': 7200}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slack.dnd.set_snooze(num_minutes=120).body"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And then we can end that snooze becuase there's more to do."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ok': True,\n",
       " 'dnd_enabled': True,\n",
       " 'next_dnd_start_ts': 1543633200,\n",
       " 'next_dnd_end_ts': 1543669200,\n",
       " 'snooze_enabled': False}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slack.dnd.end_snooze().body"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a New Channel\n",
    "\n",
    "Let's make a brand new channel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<slacker.Response at 0x23e99aba860>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<slacker.Response at 0x23ea0a3ada0>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "{'user': 'UCEKVNHPH',\n",
       " 'type': 'message',\n",
       " 'subtype': 'channel_purpose',\n",
       " 'ts': '1543633250.000300',\n",
       " 'text': '<@UCEKVNHPH> set the channel purpose: Data Science and Python',\n",
       " 'purpose': 'Data Science and Python'}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_channel_name = 'python_content_update'\n",
    "\n",
    "# Create new channel\n",
    "r = slack.channels.create(new_channel_name)\n",
    "new_id = slack.channels.get_channel_id(new_channel_name)\n",
    "\n",
    "# Set channel purpose\n",
    "r = slack.channels.set_purpose(new_id, 'Data Science and Python')\n",
    "r = slack.channels.info(new_id)\n",
    "r.body['channel']['latest']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Additional Options\n",
    "\n",
    "Nearly anything you want to do on Slack you can do through this API! Feel free to check out all of the options (which you can find in the `command_dict`). The [Slack API reference](https://api.slack.com/methods) is helpful for formulating commands."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Posting Messages\n",
    "\n",
    "Now let's get to the heart of why we want to interact with Slack: posting new messages. It's relatively simple to post a message to any channel. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.chat.post_message(channel='python_content',\n",
    "                            text='Have a great day!',\n",
    "                            username='Python Test',\n",
    "                            icon_url='http://devarea.com/wp-content/uploads/2017/11/python-300x300.png')\n",
    "r.successful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/posted_message.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we set the `username` then the messages are posted as bots. We still get to choose the icon though."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Have a great day!'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slack.channels.history(\n",
    "    channel=channel_dict['python_content']).body['messages'][0]['text']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Links in Messages\n",
    "\n",
    "Links are automatically expanded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.chat.post_message(channel='python_content',\n",
    "                            text=\"Here's an uplifting story: https://www.forbes.com/sites/stevedenning/2017/11/30/why-the-world-is-getting-better-why-hardly-anyone-knows-it/#181c93b27826\",\n",
    "                            unfurl_links=True,\n",
    "                            username='Uplift',\n",
    "                            icon_emoji=':point_up::skin-tone-5:')\n",
    "r.successful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/unfurl.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mentioning Users\n",
    "\n",
    "You can mention specific users with `<@user_id>`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.chat.post_message(channel='python_content',\n",
    "                            text='<@UCEKVNHPH> Have you read any good books lately?',\n",
    "                            link_names=True,\n",
    "                            username='Query',\n",
    "                            icon_emoji=':green_book:')\n",
    "r.successful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/query.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also post as ourselves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.chat.post_message(channel='python_content',\n",
    "                            text='Anyone up for a trip to the store?',\n",
    "                            as_user='willk')\n",
    "r.successful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/my_posted_message.PNG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Anyone up for a trip to the store?'"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slack.channels.history(\n",
    "    channel=channel_dict['python_content']).body['messages'][0]['text']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course you can also notify everyone! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.chat.post_message(channel='python_content',\n",
    "                            text='<!everyone> *This is not a test!*',\n",
    "                            username='Alert',\n",
    "                            icon_emoji=':female-firefighter:')\n",
    "r.successful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/Alert.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Complex Messages\n",
    "\n",
    "Messages can be as complex as you want using attachments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = slack.chat.post_message(channel='random',\n",
    "                            username='Fancy Message',\n",
    "                            icon_emoji=':earth_africa:',\n",
    "                            attachments=[\n",
    "                                {\n",
    "                                    \"fallback\": \"Required plain-text summary of the attachment.\",\n",
    "                                    \"color\": \"#2eb886\",\n",
    "                                    \"pretext\": \"Optional text that appears above the attachment block\",\n",
    "                                    \"author_name\": \"Fancy Message\",\n",
    "                                    \"title\": \"Slack API Documentation\",\n",
    "                                    \"title_link\": \"https://api.slack.com/\",\n",
    "                                    \"text\": \"Optional text that appears within the attachment\",\n",
    "                                    \"fields\": [\n",
    "                                        {\n",
    "                                            \"title\": \"Priority\",\n",
    "                                            \"value\": \"High\",\n",
    "                                            \"short\": False\n",
    "                                        }\n",
    "                                    ],\n",
    "                                    \"image_url\": \"http://my-website.com/path/to/image.jpg\",\n",
    "                                    \"thumb_url\": \"http://example.com/path/to/thumb.png\",\n",
    "                                    \"footer\": \"Slack API\",\n",
    "                                    \"footer_icon\": \"https://platform.slack-edge.com/img/default_application_icon.png\",\n",
    "                                    \"ts\": 123456789\n",
    "                                }\n",
    "                            ]\n",
    "                            )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/complex.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can even do crazy things like posting clickable games! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = slack.chat.post_message(channel='random', text='Play a game!',\n",
    "                            username='Game Overseer',\n",
    "                            icon_emoji=':black_joker:',\n",
    "                            attachments=[\n",
    "                                {\n",
    "                                    \"text\": \"Choose a game to play\",\n",
    "                                    \"fallback\": \"You are unable to choose a game\",\n",
    "                                    \"callback_id\": \"wopr_game\",\n",
    "                                    \"color\": \"#3AA3E3\",\n",
    "                                    \"attachment_type\": \"default\",\n",
    "                                    \"actions\": [\n",
    "                                        {\n",
    "                                            \"name\": \"game\",\n",
    "                                            \"text\": \"Chess\",\n",
    "                                            \"type\": \"button\",\n",
    "                                            \"value\": \"chess\",\n",
    "                                            \"confirm\": {\n",
    "                                                \"title\": \"Chess is a great game for the mind\",\n",
    "                                                \"text\": \"Are you up to the challenge?\",\n",
    "                                                \"ok_text\": \"Yes\",\n",
    "                                                \"dismiss_text\": \"No\"\n",
    "                                            }\n",
    "                                        },\n",
    "                                        {\n",
    "                                            \"name\": \"game\",\n",
    "                                            \"text\": \"Falken's Maze\",\n",
    "                                            \"type\": \"button\",\n",
    "                                            \"value\": \"maze\",\n",
    "                                            \"confirm\": {\n",
    "                                                \"title\": \"Mazes aren't that interesting!\",\n",
    "                                                \"text\": \"How about the other options?\",\n",
    "                                                \"ok_text\": \"Yes\",\n",
    "                                                \"dismiss_text\": \"No\"\n",
    "                                            }\n",
    "                                        },\n",
    "                                        {\n",
    "                                            \"name\": \"game\",\n",
    "                                            \"text\": \"Thermonuclear War\",\n",
    "                                            \"style\": \"danger\",\n",
    "                                            \"type\": \"button\",\n",
    "                                            \"value\": \"war\",\n",
    "                                            \"confirm\": {\n",
    "                                                \"title\": \"Are you sure?\",\n",
    "                                                \"text\": \"Wouldn't you prefer a good game of chess?\",\n",
    "                                                \"ok_text\": \"Yes\",\n",
    "                                                \"dismiss_text\": \"No\"\n",
    "                                            }\n",
    "                                        }\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                            )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/game_button.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Uploading Files\n",
    "\n",
    "One of my favorite parts of Slack is uploading files. This is done using a local file stored on your machine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = slack.files.upload(file_='images/volcano_crater.jpg',\n",
    "                       channels=['random'], title='Volcano Crater',\n",
    "                       initial_comment='This would make a great display background')\n",
    "r.successful"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's the image that we posted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://files.slack.com/files-tmb/TCD256PSM-FEGP4J4HH-5254b39955/volcano_crater_480.jpg'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img_url = r.body['file']['thumb_480']\n",
    "img_url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('images/volcano_crater.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Posting Plots\n",
    "\n",
    "Once we know how to upload files, we can start posting results of our analyses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "code_folding": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore', category=FutureWarning)\n",
    "\n",
    "# library & dataset\n",
    "df = sns.load_dataset('iris')\n",
    "\n",
    "# Basic 2D density plot\n",
    "sns.set_style(\"white\")\n",
    "\n",
    "# Some features are characteristic of 2D: color palette and wether or not color the lowest range\n",
    "sns.kdeplot(df.sepal_width, df.sepal_length,\n",
    "            cmap=\"Blues\", shade=True, shade_lowest=True, )\n",
    "plt.title('Good Ole Iris Data Set')\n",
    "\n",
    "# Save last figure\n",
    "plt.savefig('iris_plot.png', dpi=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = slack.files.upload(file_='iris_plot.png',\n",
    "                       channels=['slack_interaction', 'python_content3'],\n",
    "                       title='Iris Seaborn Plot',\n",
    "                       initial_comment=\"I've seen this data set way too many times. Seaborn makes some nice plots though.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/plot_posted.PNG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from string import ascii_letters\n",
    "\n",
    "d = pd.DataFrame(data=np.random.normal(size=(100, 26)),\n",
    "                 columns=list(ascii_letters[26:]))\n",
    "\n",
    "# Compute the correlation matrix\n",
    "corr = d.corr()\n",
    "\n",
    "# Generate a mask for the upper triangle\n",
    "mask = np.zeros_like(corr, dtype=np.bool)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "f, ax = plt.subplots(figsize=(11, 9))\n",
    "\n",
    "# Generate a custom diverging colormap\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})\n",
    "\n",
    "plt.savefig('heatmap_ex.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = slack.files.upload(file_='heatmap_ex.png',\n",
    "                       channels=['slack_interaction', 'python_content3'],\n",
    "                       title='Correlation Heatmap',\n",
    "                       initial_comment=\"The correlations are meaningless becuase they are random. Nice plot though.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Monitor Training\n",
    "\n",
    "Let's get serious and use slack for some real work. Here we'll monitor the progess of a convolutional neural network as it is training."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we'll create a new channel if it does not yet exist."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'user': 'UCEKVNHPH',\n",
       " 'type': 'message',\n",
       " 'subtype': 'channel_topic',\n",
       " 'ts': '1543633470.009500',\n",
       " 'text': '<@UCEKVNHPH> set the channel topic: Progress Monitoring',\n",
       " 'topic': 'Progress Monitoring'}"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "channel_list = [c['name'] for c in slack.channels.list().body['channels']]\n",
    "\n",
    "reporting_channel = 'training_report'\n",
    "\n",
    "if reporting_channel not in channel_list:\n",
    "    slack.channels.create('training_report')\n",
    "\n",
    "cid = slack.channels.get_channel_id('training_report')\n",
    "r = slack.channels.set_purpose(\n",
    "    cid, 'Report progress while training machine learning models')\n",
    "r = slack.channels.set_topic(cid, 'Progress Monitoring')\n",
    "r = slack.channels.info(cid).body\n",
    "r['channel']['latest']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model and Data\n",
    "\n",
    "Now we'll import some data and a model. This is just a basic convolutional neural network that will be trained to identify numbers (MNIST). The script is from https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train shape: (60000, 28, 28, 1)\n",
      "60000 train samples\n",
      "10000 test samples\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 26, 26, 32)        320       \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 24, 24, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 12, 12, 64)        0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 9216)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 128)               1179776   \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 10)                1290      \n",
      "=================================================================\n",
      "Total params: 1,199,882\n",
      "Trainable params: 1,199,882\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from utils import get_data_and_model\n",
    "\n",
    "x_train, x_test, y_train, y_test, model = get_data_and_model()\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Keras Custom Callback\n",
    "\n",
    "We'll write a quick custom Keras callback that reports the progress while training. Refer to [the documentation](https://keras.io/callbacks/) for specifics. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.callbacks import Callback\n",
    "from datetime import datetime\n",
    "\n",
    "\n",
    "def report_stats(text, channel):\n",
    "    \"\"\"Report training stats\"\"\"\n",
    "    r = slack.chat.post_message(channel=channel, text=text,\n",
    "                                username='Training Report',\n",
    "                                icon_emoji=':clipboard:')\n",
    "\n",
    "    if r.successful:\n",
    "        return True\n",
    "    else:\n",
    "        return r.error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "from timeit import default_timer as timer\n",
    "\n",
    "\n",
    "class SlackUpdate(Callback):\n",
    "    \"\"\"Custom Keras callback that posts to Slack while training a neural network\"\"\"\n",
    "\n",
    "    def __init__(self, channel):\n",
    "        self.channel = channel\n",
    "\n",
    "    def on_train_begin(self, logs={}):\n",
    "        report_stats(text=f'Training started at {datetime.now()}',\n",
    "                     channel=reporting_channel)\n",
    "\n",
    "        self.start_time = timer()\n",
    "        self.train_acc = []\n",
    "        self.valid_acc = []\n",
    "        self.train_loss = []\n",
    "        self.valid_loss = []\n",
    "        self.n_epochs = 0\n",
    "\n",
    "    def on_epoch_end(self, batch, logs={}):\n",
    "\n",
    "        self.train_acc.append(logs.get('acc'))\n",
    "        self.valid_acc.append(logs.get('val_acc'))\n",
    "        self.train_loss.append(logs.get('loss'))\n",
    "        self.valid_loss.append(logs.get('val_loss'))\n",
    "        self.n_epochs += 1\n",
    "\n",
    "        message = f'Epoch: {self.n_epochs} Training Loss: {self.train_loss[-1]:.4f} Validation Loss: {self.valid_loss[-1]:.4f}'\n",
    "\n",
    "        report_stats(message, channel=self.channel)\n",
    "\n",
    "    def on_train_end(self, logs={}):\n",
    "\n",
    "        best_epoch = np.argmin(self.valid_loss)\n",
    "        valid_loss = self.valid_loss[best_epoch]\n",
    "        train_loss = self.train_loss[best_epoch]\n",
    "        train_acc = self.train_acc[best_epoch]\n",
    "        valid_acc = self.valid_acc[best_epoch]\n",
    "\n",
    "        message = f'Trained for {self.n_epochs} epochs. Best epoch was {best_epoch + 1}.'\n",
    "        report_stats(message, channel=self.channel)\n",
    "        message = f'Best validation loss = {valid_loss:.4f} Training Loss = {train_loss:.2f} Validation accuracy = {100*valid_acc:.2f}%'\n",
    "        report_stats(message, channel=self.channel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's instantiate this callback. We'll report to the new channel we created. \n",
    "\n",
    "Then we start training and can monitor the training in the channel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 36000 samples, validate on 24000 samples\n",
      "Epoch 1/12\n",
      "36000/36000 [==============================] - 18s 491us/step - loss: 0.7556 - acc: 0.7602 - val_loss: 0.2250 - val_acc: 0.9309\n",
      "Epoch 2/12\n",
      "36000/36000 [==============================] - 9s 263us/step - loss: 0.2029 - acc: 0.9413 - val_loss: 0.1062 - val_acc: 0.9685\n",
      "Epoch 3/12\n",
      "36000/36000 [==============================] - 10s 267us/step - loss: 0.1291 - acc: 0.9616 - val_loss: 0.1180 - val_acc: 0.9632\n",
      "Epoch 4/12\n",
      "36000/36000 [==============================] - 10s 272us/step - loss: 0.1004 - acc: 0.9697 - val_loss: 0.0744 - val_acc: 0.9775\n",
      "Epoch 5/12\n",
      "36000/36000 [==============================] - 10s 279us/step - loss: 0.0870 - acc: 0.9736 - val_loss: 0.0671 - val_acc: 0.9799\n",
      "Epoch 6/12\n",
      "36000/36000 [==============================] - 10s 269us/step - loss: 0.0728 - acc: 0.9782 - val_loss: 0.0659 - val_acc: 0.9797\n",
      "Epoch 7/12\n",
      "36000/36000 [==============================] - 10s 274us/step - loss: 0.0655 - acc: 0.9804 - val_loss: 0.0548 - val_acc: 0.9835\n",
      "Epoch 8/12\n",
      "36000/36000 [==============================] - 10s 271us/step - loss: 0.0572 - acc: 0.9822 - val_loss: 0.0556 - val_acc: 0.9837\n",
      "Epoch 9/12\n",
      "36000/36000 [==============================] - 10s 268us/step - loss: 0.0509 - acc: 0.9844 - val_loss: 0.0534 - val_acc: 0.9839\n",
      "Epoch 10/12\n",
      "36000/36000 [==============================] - 10s 273us/step - loss: 0.0482 - acc: 0.9849 - val_loss: 0.0473 - val_acc: 0.9859\n",
      "Epoch 11/12\n",
      "36000/36000 [==============================] - 10s 284us/step - loss: 0.0420 - acc: 0.9878 - val_loss: 0.0500 - val_acc: 0.9849\n",
      "Epoch 12/12\n",
      "36000/36000 [==============================] - 10s 267us/step - loss: 0.0404 - acc: 0.9878 - val_loss: 0.0486 - val_acc: 0.9863\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "updater = SlackUpdate(channel=reporting_channel)\n",
    "\n",
    "\n",
    "# Fit the model for 10 epochs\n",
    "history = model.fit(x_train, y_train, epochs=12, batch_size=512,\n",
    "                    callbacks=[updater], validation_split=0.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have a thorough report of what happened during training."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/training_report.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Results\n",
    "\n",
    "Next we can create a plot of the training curves and send them to the reporting channel. This could also be included in the custom callback `on_train_end` method."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we'll plot the figure and save it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from utils import plot_history\n",
    "\n",
    "plot_history(history.history)\n",
    "plt.savefig('training_curves.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we upload the file along with some helpful comments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Best loss of 0.0473 at epoch 10.'"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find minimum loss\n",
    "min_loss = min(history.history['val_loss'])\n",
    "best_epoch = np.argmin(history.history['val_loss']) + 1\n",
    "\n",
    "# Upload file\n",
    "comment = f\"Best loss of {min_loss:.4f} at epoch {best_epoch}.\"\n",
    "r = slack.files.upload(file_='training_curves.png', title=\"Training Curves\", channels=[reporting_channel],\n",
    "                       initial_comment=comment)\n",
    "r = slack.channels.info(cid).body\n",
    "r['channel']['latest']['text']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/training_plot.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Upload Predictions\n",
    "\n",
    "We'll were at it, we might as well upload some predictions on test images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import MatplotlibDeprecationWarning\n",
    "warnings.filterwarnings('ignore', category=MatplotlibDeprecationWarning)\n",
    "\n",
    "\n",
    "def plot_image(image, ax=None):\n",
    "    if ax is not None:\n",
    "        ax.imshow(image.reshape((28, 28)), cmap='Greys')\n",
    "    else:\n",
    "        plt.imshow(image.reshape((28, 28)), cmap='Greys')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_image(x_test[10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 1., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_predictions(n=4):\n",
    "    \"\"\"Plot test image and predictions\"\"\"\n",
    "\n",
    "    # Get random images to plot\n",
    "    to_plot = np.random.choice(list(range(x_test.shape[0])),\n",
    "                               size=n, replace=False)\n",
    "    correct = []\n",
    "    # Make predictions and plot each image\n",
    "    for i in to_plot:\n",
    "        image = x_test[i]\n",
    "        probs = model.predict_proba(image.reshape((1, 28, 28, 1)))[0]\n",
    "        pred = pd.DataFrame({'prob': probs})\n",
    "        fig, axs = plt.subplots(1, 2, figsize=(16, 6))\n",
    "        plot_image(image, axs[0])\n",
    "\n",
    "        pred['prob'].plot.bar(ax=axs[1])\n",
    "        axs[1].set_xlabel('Class')\n",
    "        axs[1].set_ylabel('Probability')\n",
    "        axs[1].set_title('Predictions')\n",
    "        plt.savefig(f'images/test-{i}-predictions.png')\n",
    "        plt.show()\n",
    "\n",
    "        correct.append(np.argmax(probs) == np.argmax(y_test[i]))\n",
    "\n",
    "    return to_plot, correct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "to_plot, c = plot_predictions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_predictions(channel, n=4):\n",
    "    \"\"\"Post Keras preditions to Slack\"\"\"\n",
    "\n",
    "    # Make predictions\n",
    "    plot_indexes, correct = plot_predictions(n=n)\n",
    "\n",
    "    # Iterate through images and correct indicators\n",
    "    for i, r in zip(plot_indexes, correct):\n",
    "        filename = f'images/test-{i}-predictions.png'\n",
    "        # Upload the files\n",
    "        r = slack.files.upload(file_=filename,\n",
    "                               title=\"Predictions\",\n",
    "                               channels=[channel],\n",
    "                               initial_comment='Correct' if r else 'Incorrect')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "post_predictions(reporting_channel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is what the predictions look like uploaded to Slack. \n",
    "\n",
    "![](images/prediction_plots.PNG)\n",
    "\n",
    "Looks like this model does pretty well. If you set up a model to train overnight, it would be nice to see these results in the morning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusions\n",
    "\n",
    "While apps such as Slack can be used for fun, they also can improve productivity when used correctly. Once we realize the nearly all of these apps have Python apis, we can start to figure out how to use them programmatically for the greatest efficiency.\n",
    "\n",
    "In this notebook, we saw how to interact with Slack using the `Slacker` library in Python. The library allows us to do anything we can do through the Slack API which gives us control over almost every aspect of our workspace. \n",
    "\n",
    "We can do things such as:\n",
    "\n",
    "* Retrieve channel, message, and user information\n",
    "* Alter and manage settings\n",
    "* Post messages including complex formatted apps\n",
    "* Upload files such as Python plots\n",
    "* Track the progress of a machine learning training run\n",
    "* Post results of a deep learning exercise \n",
    "\n",
    "We have only covered the surface level of what we can do programmatically. Although this particular use case may not be compelling to you, the overarching idea that we can use Python to carry out many routine tasks and improve our efficiency is powerful. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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